The Next-Generation Constitutive Correlations for Simulation of Cyclic Stress-Strain Behavior of Sand

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Shahnazari:2014:JCEM,
  author =       "Habib Shahnazari and Yasser Dehnavi and 
                 Amir H. Alavi",
  title =        "The Next-Generation Constitutive Correlations for
                 Simulation of Cyclic Stress-Strain Behavior of Sand",
  journal =      "Journal of Civil Engineering and Management",
  year =         "2015",
  volume =       "21",
  number =       "1",
  pages =        "31--44",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, cyclic
                 stress-strain relationship, linear genetic programming,
                 damping ratio, shear modulus, hardening",
  DOI =          "doi:10.3846/13923730.2013.802726",
  size =         "14 pages",
  abstract =     "This paper presents an innovate approach to simulate
                 the stress-strain behaviour of sands subjected to large
                 amplitude regular cyclic loading. New prediction
                 correlations were derived for damping ratio (D) and
                 shear modulus (G) of sand using linear genetic
                 programming (LGP) methodology. The correlations were
                 developed using several cyclic torsional simple shear
                 test results. In order to formulate D and G, new
                 equations were developed to simulate hysteresis
                 strain-stress curves and maximum shear stress (tau max)
                 at different loading cycles. A genetic algorithm
                 analysis was performed to optimize the parameters of
                 the proposed formulation for stress-strain
                 relationship. A total of 746 records were extracted
                 from the simple shear test results to develop the r_max
                 predictive model. Sensitivity and parametric analyses
                 were conducted to verify the results. To investigate
                 the applicability of the models, they were employed to
                 simulate the stress-strain curves of portions of test
                 results that were not included in the analysis. The LGP
                 method precisely characterizes the complex hysteresis
                 behaviour of sandy soils resulting in a very good
                 prediction performance. The proposed design equations
                 may be used by designers as efficient tools to
                 determine D and G, specifically when laboratory testing
                 is not possible.",
}

Genetic Programming entries for Habib Shahnazari Yasser Dehnavi A H Alavi

Citations